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Field
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techniques, image analysis, genetic manipulations, biophysical approaches, and collaborate with theoreticians to address these questions. The specific details and aims of the project will be driven by
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backgrounds: Molecular biology, protein engineering, biochemistry. Optical engineering, fluorescence microscopy, image analysis: Development of microscopes and data analysis pipelines used to acquire and
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services, as well as receive clinical training in inherited cardiac conditions, sports cardiology and cardiac imaging. Person Specification Applicants should be clinically qualified with ALS and MRCP
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sufficient to carry out image processing and data analysis. Skills in hypothesis-testing, experiment design, analysis of data sets and writing scientific manuscripts and reports. Demonstrate enthusiasm
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following topics and tasks: Machine learning/Artificial Intelligence methods for automatic interpretation/classification of the RIMFAX radar images. Retrieval of geophysical parameters, such as dielectric
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etching. Use ‘zoom’ tomography and imaging to resolve structural variation across scales from 30μm down to 3nm to establish a platform for reverse bottom-up enamel remineralisation. Bottom-up multi-modal 4D
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industry. Our aim is to shine new light on manufacturing processes and products through developing best-in class 3D imaging. Specifically we will exploit and further develop new and upgraded beamlines
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imaging tools. Our goal is to understand how specific RNA molecules are spatially and temporally organized within cells to regulate eukaryotic gene expression and cellular function. This research is based
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. fluorescence imaging, molecular biology, cell culture, immunohistochemical assays, circuit manipulations, mouse surgery or behavioral assays) and electrophysiological recording (in vivo extracellular recordings
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strategies that modulate the crosstalk between tumor and immune cells, and develop new image-based screening technologies to identify targets that mediate clinically-relevant cell-cell interactions